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Balanced Allocations: A Simple Proof for the Heavily Loaded Case

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arxiv 1310.5367 v1 pith:XJ4XU5ZW submitted 2013-10-20 cs.DM cs.DS

classification cs.DMcs.DS
keywords proofcomputersloadsimpleweakeraidedallocationsaverage
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

We provide a relatively simple proof that the expected gap between the maximum load and the average load in the two choice process is bounded by $(1+o(1))\log \log n$, irrespective of the number of balls thrown. The theorem was first proven by Berenbrink et al. Their proof uses heavy machinery from Markov-Chain theory and some of the calculations are done using computers. In this manuscript we provide a significantly simpler proof that is not aided by computers and is self contained. The simplification comes at a cost of weaker bounds on the low order terms and a weaker tail bound for the probability of deviating from the expectation.

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  1. Succinct and Fast Tiny Pointer Hash Tables

    cs.DS 2026-07 conditional novelty 7.0 of 10

    Two practical hash-table designs—Chained-TPHT and Flattened-TPHT—use byte-sized pointers and key quotienting to reach 105.4% and 83.4% space efficiency with constant-time operations and high throughput.

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